{"id":"W6887207131","doi":"10.15468/dl.xavfrr","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); State (computer science); Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009086827,0.002113994,0.00156045,0.004949282,0.0009882122,0.002374959,0.002779881,0.001929122,0.1559418],"category_scores_gemma":[0.005510476,0.000921427,0.001166121,0.009830417,0.0004448521,0.002199476,0.002565307,0.001908998,0.217637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499659,"about_ca_system_score_gemma":0.002237715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027705,"about_ca_topic_score_gemma":0.03451158,"domain_scores_codex":[0.9989702,0.0001380875,0.0001297215,0.0003731695,0.0002161542,0.0001727903],"domain_scores_gemma":[0.9977123,0.0006159057,0.0002262901,0.0005946851,0.0005784765,0.0002722532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003349153,0.00001172999,0.0003870261,0.0005385586,0.0000144652,0.00001444694,0.00002159472,0.0001249962,0.0001284992,0.0003616177,0.9969125,0.001450946],"study_design_scores_gemma":[0.00007854476,0.00000959997,0.00189191,0.0001753043,0.00001450879,0.0000379914,0.00006324829,0.0001410702,0.0001973965,0.0007721771,0.9965997,0.00001847126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004491041,0.00002633747,0.00004115022,0.00002994636,0.00001175873,0.000004669857,0.9988663,0.0003486821,0.0006262625],"genre_scores_gemma":[0.0001496664,0.00003136306,0.0001852017,0.000042562,0.000003313412,0.00003808723,0.9989505,0.0001419743,0.0004573236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8440582,"threshold_uncertainty_score":0.5216774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}